Data types
What makes code reviews and pull requests valuable for AI?
By SourceX Editorial · Updated
Short answer
Code reviews and pull requests are valuable to AI companies because they show what good code looks like and why changes are requested. They are used to build code review models, coding agents and quality evaluation. Value rises with volume, years of history, consistency and clear rights.
What's inside#
Typically pull requests, review comments and approvals.
What AI companies build with them#
Common uses include code review models, coding agents and quality evaluation.
What affects value#
Linked records (a request connected to its outcome), long consistent histories, unusual domains and clean rights all help. There is no price list. Value depends on buyer demand, volume, years of history, how unusual the records are and how clear your rights are, and it is only known once a buyer engages.
How licensing works#
SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.
Frequently asked questions
Do code reviews and pull requests have to be perfect?
No. Preparation fixes a lot, but complete and consistent records are worth more.
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